Shoodoo Analytics

Shoodoo Analytics

Powerful Analytics-as-a-service platform, built to deliver the most accurate predictions about your business.

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DateInvestorsAmountRound

$500k

Seed
Total Funding000k
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Shoodoo Analytics, founded in October 2015, operates as a specialized Analytics-as-a-Service platform, focusing on predictive and data analysis for businesses. The company was established by CEO Amir Raskin and CCO Keren Shaked. Raskin brings significant entrepreneurial experience to the venture, having previously founded HyperRoll, which was subsequently acquired by Oracle. Shaked contributes a strong background in customer experience and analytics.

The firm targets a broad market of companies and organizations that may lack the internal resources or specialized statistical knowledge to develop and maintain their own data science programs. Its business model centers on providing access to sophisticated predictive analytics in a simplified, accessible manner. Shoodoo Analytics has secured a total of $1.55 million in funding over two seed rounds, including a notable $550,000 investment from the VLX Ventures technological incubator in December 2017.

The core of Shoodoo's offering is its self-service platform, which leverages machine learning and a patented AI technology. A distinctive feature of its architecture is a global network of data scientists who collaboratively build and contribute to an ever-expanding library of analytical models. The platform's engine then automatically selects the most suitable model for a client's specific needs. This approach allows businesses of any size to generate forecasts for various operational areas, including inventory management, sales projections, and customer churn, without needing direct statistical expertise. The service is designed to deliver these predictions with guaranteed accuracy and speed, positioning itself as a cost-effective alternative to hiring a traditional data science team.

Keywords: predictive analytics, analytics-as-a-service, machine learning platform, data analysis, business intelligence, sales forecasting, customer churn prediction, inventory management, data science, Amir Raskin, Keren Shaked, VLX Ventures, self-service analytics, AI technology, classification models, data-driven decisions, business forecasting

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